We propose to develop novel hardware-centric "initialization" technology that enables unprecedented computational power for the solution of general optimization problems. In Phase I, we will develop a hardware prototype of an "initializer" equipped with our technology, and conduct simulation studies… More

We propose to develop novel FPGA-based algorithmic technology that will enable unprecedented computational power for the solution of large sparse linear equation systems. In Phase I, we will develop a prototype of a non-von-Neumann linear equation solver equipped with our technology, and demonstrate… More

It is estimated that over 70% of supercomputing usage today is dedicated to solving large systems of linear equations, such as those at the core of DOE computational problems in fusion research, accelerator simulations, and astrophysics. This project will develop technology to provide unprecedented… More

Partial Differential Equations (PDEs) are at the core of Air Force scientific priorities in air vehicle design. The goal of this STTR is to provide unprecedent computational power to the solution of large-scale PDE problems in 3D through the use of reconfigurable computing linear equation solvers… More

An estimated 70% of supercomputing cycles are dedicated to solving large-scale least squares problems, which are at the core of important DOE computational problems in energy fusion research, bioinformatics, geodetics, structural analysis, tomography, and astrophysics. This project will extend the… More

Over 70% of supercomputing usage today is dedicated to solving large systems of linear equations. Linear equations are at the core of the most important DOE computational problems in energy fusion research, accelerator simulations, weather modeling, oil & gas exploration, chemistry, materials, and… More

Partial Differential Equations (PDEs) are at the core of Air Force scientific priorities in air vehicle design. As part of an ambitious research program funded by the Air Force, NASA, and DOE, Accelogic is spearheading the development of LAPACKrc, a groundbreaking family of FPGA-based linear algebra… More

An estimated 70% of supercomputing cycles worldwide are spent solving large-scale systems of linear equations. Sparse linear equations are at the core ¿ and constitute the primary bottleneck ¿ of important DOE research problems in energy fusion, accelerator simulations, and astrophysics, among… More

An estimated 70% of supercomputing cycles worldwide are dedicated to solving numerical linear algebra problems, and large-scale ¿least-squares¿ computational problems are an important subset of numerical linear algebra. Sca/LAPACKrc, a multimillion dollar program to develop FPGA-accelerated… More

The Fast Fourier Transform (FFT), an efficient method for computing Discrete Fourier Transforms, is widely used in climate modeling, molecular dynamics, structural dynamics, astronomical computations, nuclear energy, and many other scientific applications. Representing one of the most important… More

Cloud computing has the potential to permit scientists to scale up to solve large science problems without having to invest in hardware and software infrastructure. Even though its use has become commonplace in the business realm, its use in HPC is still limited to a few applications. This project… More

One of the most important linear algebra problems is that of finding the eigenvalues and eigenvectors of large-scale matrices. Methods for the solution of these problems, usually called eigensolvers, are fundamental to many applications in engineering and scienceranging from the most challenging… More

One of the most important numerical problems in science and engineering is that of finding the eigenvalues and eigenvectors of large-scale matrices. Methods for the solution of these problems, usually called eigensolvers, are fundamental to many industrial and scientific applications ranging from… More

Processor speed has traditionally grown at a rate faster than that ofcommunication speed in computer and supercomputer networks, and it isexpected that this trend will continue even stronger, as we move into theexascale age in the upcoming decade. This has resulted in what is known asthe… More

The traditional view of arithmetic operations dominating the computational cost of numerical algorithms has changed. As performance of new processors increases, we are moving into a new reality in which data movement is expensive and operations are becoming nearly free. In Phase I we discovered a… More